Unsupervised Learning Algorithms

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Celebi, M. Emre (Επιμελητής έκδοσης), Aydin, Kemal (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Engineering.; Computer communication systems.; Data mining.; Artificial intelligence.; Pattern recognition.; Computational intelligence.; Electrical engineering.; Communications Engineering, Networks.; Computational Intelligence.; Computer Communication Networks.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among...

Πίνακας περιεχομένων:

• Introduction
• Feature Construction
• Feature Extraction
• Feature Selection
• Association Rule Learning
• Clustering
• Anomaly/Novelty/Outlier Detection
• Evaluation of Unsupervised Learning
• Applications
• Conclusion.